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Towards a recommender system from semantic traces for decision aid

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Date
2014
Link to item file
https://hal.archives-ouvertes.fr/hal-01130026
Dewey
Informatique générale
Sujet
Recommender system; Traces of Interaction; Semantic Modelling
DOI
http://dx.doi.org/10.5220/0005133502740279
Conference name
International Conference on Knowledge Management and Information Sharing
Conference date
10-2014
Conference city
Rome
Conference country
Italy
Book title
Proceedings of the International Conference on Knowledge Management and Information Sharing October 21-24, 2014, in Rome, Italy
Author
Liu, Kecheng; Filipe, Joaquim
Publisher
SciTe Press
Year
2014
ISBN
978-989-758-050-5
URI
https://basepub.dauphine.fr/handle/123456789/15670
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Wang, Ning
389870 Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]
Abel, Marie-Hélène
389870 Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]
Barthès, Jean-Paul
389870 Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]
Negre, Elsa
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
274-279
Abstract (EN)
Collaboration allows integrating intellectual resources and knowledge from all participants in order to achieve individual or collective goals. With the help of informational environments, we can better organize, realize and record collaboration. During interactions among users in such environments, each activity produces a set of traces. Such traces are recorded and classified, based on a model of traces and can be exploited to improve collaboration. In this article, we propose a semantic model of traces and analyze classified traces by means of TF-IDF. We exploit the results to offer users recommendations and decision aid.

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